---
title: 'Data Solutions Analyst at Pattern Data'
canonical: 'https://feeny.ai/job/data-solutions-analyst-pattern-data-pittsburgh-wk92krg2qbv4'
type: 'job'
last_seen: '2026-09-10'
---

# Data Solutions Analyst at Pattern Data

- **Company:** Pattern Data
- **Location:** Pittsburgh, PA
- **Work type:** remote
- **Posted:** 2026-07-15
- **Last confirmed live:** 2026-09-10
- **Apply:** https://job-boards.greenhouse.io/patterndata/jobs/5187872007

## Job description

## Who We Are

Pattern Data is an AI-powered platform built for the complexities of mass tort litigation. We help leading law firms automate case analysis, accelerate settlement decisions, and manage high-volume inventories that were traditionally manual and time-intensive.

The problems we work on are complex and high-stakes, requiring precision, adaptability, and a deep understanding of both data and client needs.

We’re a collaborative, high-ownership team that moves quickly and takes pride in solving hard problems well. People at Pattern go deep to understand the “why,” build solutions that hold up, and stay focused on what drives real outcomes for our customers. We value transparency, thoughtful problem-solving, and authenticity in how we work together and we’re looking for someone who’s excited to contribute to a team that’s actively building and improving every day.

## What You’ll Do

As a Data Solutions Analyst at Pattern Data, you will specialize in settlement support, becoming a trusted resource on the facets of each settlement program. You’ll partner with clients and internal teams to solve data questions, build long term solutions, and validate outputs to ensure accuracy across every settlement you support. At Pattern, you will be responsible for the following:

- Be available and responsive to client and internal requests across settlement programs
- Become an expert on the eligibility criteria, claims data, and valuation methodology specific to each settlement to provide informed, accurate guidance and data solutions
- Provide client and internal support on Pattern's API capabilities
- Provide data support, translating client questions into clear, accurate answers using settlement data and platform tooling
- Write and run simple scripts and queries (SQL, Python, or similar) to validate claimant data, calculations, and outputs
- Perform quality checks and troubleshoot data discrepancies flagged by clients or internal teams
- Document recurring questions and solutions to build institutional knowledge across the our settlement programs
- Collaborate cross-functionally with litigation management, engineering, and product teams to resolve settlement-specific data issues

## What You’ll Bring

- Strong analytical and problem-solving skills, with the ability to quickly learn the details of multiple settlement programs and translating them into data solutions
- Excellent communication skills, with the ability to explain technical concepts and data findings clearly to both technical and non-technical stakeholders
- Comfort managing multiple, sometimes competing priorities across concurrent projects
- 1 or more years of experience working with SQL data sources, with comfort writing and debugging queries
- Familiarity with Python or a similar scripting language for data validation and automation
- Exceptional attention to detail and a client-first mindset, with a willingness to serve as a flexible, on-call resource across programs
- Advanced proficiency in spreadsheet tooling i.e. Excel
- Bachelor's degree in Economics, Data Science/Analysis, Computer Science, or a related field, or equivalent experience
- Willingness to travel or be available outside standard business hours as settlement deadlines require
- Experience in the legal industry is a plus

Pay Transparency Disclosure

The estimated base salary range for this role is $80,000-$110,000 per year, plus bonus and benefits.

At Pattern Data, our compensation philosophy is built around fairness, transparency, and market alignment. Base salary represents just one part of our total compensation package, which also includes performance-based incentives, comprehensive benefits, and other rewards.

Final compensation will be determined based on several factors, including skills, experience, qualifications, geographical location and internal equity across the team.

We understand that exceptional candidates bring unique backgrounds and strengths.  If the scope of the role changes during the hiring process, we’ll update and communicate any adjusted range accordingly.

Pattern Data is committed to pay equity and to maintaining competitive, transparent compensation practices across all roles and teams.

Ready to meet us?

Please apply directly through our website or Linkedin. We are excited to hear from you!

## About Pattern Data

## Company Overview
- **One-liner**: Pattern Data provides an AI-powered operating system for mass tort litigation, enabling law firms and settlement administrators to manage case reviews, validation, and settlement through structured data.
- **Entity Type**: Private (Seed round, February 2020)
- **Headquarters**: Charlotte, North Carolina, United States
- **Founded**: 2020 (seed round date)
- **Founders**: Matt Francis (Co-Founder & CEO), Koleman Nix (Co-Founder & CTO)

## Core Business
- **Primary industry**: Legal technology (mass tort litigation software)
- **Target customers**: Plaintiff law firms and settlement administrators (B2B) handling multi-district litigations (MDLs)
- **Mission**: To transform the way legal services are provided by combining AI with legal expertise, delivering clarity, speed, and confidence in every mass tort.

## Products & Services
- **[Pattern Platform (SaaS)]**: The core product – an operating system that screens, develops, and settles mass tort cases. It applies litigation-specific criteria across entire inventories, identifies missing documentation, re-evaluates cases as criteria evolve, and generates structured, settlement-ready submissions. Supports over 30 litigations (e.g., AFFF/PFAS, Roundup, Zantac, Camp LeJeune, Hernia Mesh, Talc, Ozempic, etc.).

## Market Standing
- **Valuation/Market Cap**: Not publicly available
- **Key Metric**: Total funding – Seed round in February 2020 (amount not disclosed); annual revenue not publicly available
- **Notable Investors/Partners**: Not publicly disclosed; the platform integrates with partner systems and is trusted across 1M+ cases and 30+ litigations
- **Growth Signals**: 29 employees (+10.5% YoY); 9,309 LinkedIn followers (+5.4% yearly); active job postings up 25% yearly; expanding engineering and client success teams; Pattern Labs research initiative launched

## Competitive Advantages
- **Inventory-level clarity**: Converts individual case reviews into a unified, structured inventory that can be reported, acted on, and built upon across every stage of litigation.
- **AI-augmented human judgment**: AI extracts, classifies, and scores evidence to support (not replace) human review, reducing manual work while maintaining accuracy.
- **Dynamic adaptability**: Automatically re-evaluates all cases when litigation criteria change, saving teams from re-reviewing files individually.
- **Breadth of litigation support**: Covers a wide range of high-profile MDLs, giving firms a single system for multiple cases.

## Strategic Focus
- **Continuous platform evolution**: Investing in research, model refinement, and real-world litigation analysis through Pattern Labs.
- **Deepening integrations**: Actively hiring a Senior Product Manager focused on integrations and platform to expand connectivity with partner tools.
- **Scaling the team**: Growing engineering (entry to staff), client success, and sales functions to support a larger client base.

## Why Work Here
- **Culture & values**: Authenticity, collaborative ownership, customer-centric solutions, and visionary problem-solving. Team of agile learners and proactive self-starters.
- **Work policy**: Mixed – headquarters in Charlotte, NC (in-office), with remote roles available for US-based positions (e.g., Account Executive, Senior/Staff Software Engineer). Entry-level engineering role in Richmond, VA (on-site). Some roles are fully remote.
- **Tech stack**: Modern stack including Scala, TypeScript, React, Python, PostgreSQL, Elasticsearch, GraphQL, Docker, PyTorch, and more.
- **Growth opportunities**: Rapidly scaling company with clear career progression; open roles in engineering, product, client success, and business development.

## Sources
1. [patterndata.ai](https://patterndata.ai/)
2. [Greenhouse Jobs](http://job-boards.greenhouse.io/patterndata)
3. [LinkedIn Company Page](https://www.linkedin.com/company/pattern-data)
4. [Built In Profile](https://builtin.com/company/pattern-data)

## Other roles at Pattern Data

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